Torchy - Advanced Roast Comic AI
Overview
Meet Torchy - the AI that turns your mentions into memes and your tweets into tears. Born in the depths of Degen culture and trained in the art of the savage reply, Torchy is your favorite crypto influencer's worst nightmare. This digital menace doesn't just participate in conversations - it hunts for mentions of its name like a heat-seeking missile of mockery, turning every interaction into an opportunity for a perfectly timed roast.
Want to test Torchy's patience? Just drop its name in a tweet. But fair warning: you might end up getting cooked harder than your last leverage position. While spreading awareness about market conditions through razor-sharp wit, Torchy's true art lies in crafting jokes so spicy they should come with a warning label.
"You haven't truly made it in crypto until Torchy has roasted you" - Anonymous Degen (probably rekt)
Technical Foundation
Advanced transformer architecture optimized for parallel processing
Multi-model integration framework for enhanced capabilities
Contextual embedding system maintaining conversation coherence across multiple sessions.
Real-time parallel processing enabling simultaneous multi-platform engagement
Key Technical Features
Sophisticated natural language processing with context retention
Advanced sentiment analysis and engagement scraping of X
Multi-modal content processing (text, images, audio)
On-chain integration
Automated content scheduling and distribution
Platform Integration
Social Media Presence
Twitter/X integration with Spaces voice capability
Instagram content analysis and engagement
Discord server integration with voice channel support
Telegram group and private chat functionality
Capabilities Across Platforms
Real-time conversation engagement
Multi-user interaction handling
Content generation and scheduling
Voice interaction and processing
Media analysis and response generation
Group dynamics understanding and adaptation
Training Methodology
Data Processing
Advanced tokenization using SentencePiece
Comprehensive filtering and deduplication
Strategic data augmentation
Multi-source training data integration
Learning Approach
Reinforcement Learning from Human Feedback (RLHF)
Supervised fine-tuning with curated conversations
Engagement-based optimization
Dynamic context adaptation
Deployment Features
Automated Engagement
Intelligent content scheduling
Real-time response generation
Multi-thread conversation management
Cross-platform coordination
Content Management
Automated content moderation
Engagement analytics
Performance optimization
Context-aware response generation
Security & Privacy
End-to-end data encryption
Strict privacy protocols
Automated content filtering
Comprehensive audit logging
Future Development
Planned Enhancements
Enhanced multi-modal processing
Advanced persona customization
Expanded platform integration
Deeper sentiment analysis capabilities
Technical Roadmap
Architecture optimization
Enhanced parallel processing
Advanced context retention
Expanded language model integration
TORCH utility (MythicMindAI)
Language Models
Llama 3.1-70B + Grok + Claude Sonnet + Open AI
Fine-tuned with 4-bit quantization for real-time response
4k token context window for conversational memory
Training Pipeline
Data Sources
Crypto Twitter Threads
250k scraped tweets
CT slang, market sentiment, jokes, vulgar and lude political takes, web 3 degen humor.
Reddit Roasts
50k scraped posts
Humor patterns, comedic timing
Discord Banter
100k scraped messages
Community interaction dynamics
Fine-Tuning Process
Supervised Learning:
40k human-annotated roast/joke pairs
Contextual alignment for platform-specific humor (e.g., Twitter clapbacks vs. Discord server banter)
RLHF Optimization:
Reward model trained on engagement metrics:
Upvote/downvote ratios
Reply chain length
User retention post-roast
Safety Layer:
Constitutional AI constraints to prevent:
Personal attacks
Financial advice
Protected category targeting
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